ABSTRACT
Abstract Objectives The aim of this study was to examine the changes in gray matter in nasopharyngeal carcinoma patients with normal hearing (Group 1) and nasopharyngeal carcinoma patients with hearing loss (Group 2) after radiotherapy using voxel-based morphological analysis and to analyze the relationship with the radiation doses of the temporal lobe. Methods 21 patients in Group 1, 14 patients in Group 2, and 21 healthy volunteers were selected. All participants underwent an otologic examination and three-dimensional magnetization preparatory rapid acquisition gradient echo sequence scan. The correlation between the variation of whole brain gray matter volume and the doses of the temporal lobe was analyzed by Data Processing & Analysis for Brain Imaging software. Results Compared with the normal control group, the brain areas with reduced gray matter volume in nasopharyngeal carcinoma patients after radiotherapy were mainly in the left posterior cerebellar lobe (T = −8.797), left insular lobe (T = −7.96), and the right insular lobe (T = −6.632). Compared to Group 1, the brain areas of Group 2 patients with reduced gray matter volume were mainly in the left superior temporal gyrus (T = −2.366), left olfactory bulb (T = −2.52), left Rolandic operculum (T = −2.431), and right olfactory bulb (T = −3.100). Compared with Group 1, the brain areas of Group 2 patients with increased gray matter volume were mainly in the left calcarine sulcus (T = 3.425) and right calcarine sulcus (T = 3.169). There were no correlations between the changes of brain gray matter volume and the radiation doses of the temporal lobe in both Group 1 and Group 2. Conclusions The radiotherapy may cause the changes of brain areas associated with cognitive function in nasopharyngeal carcinoma in a long-term follow-up. At the same time, nasopharyngeal carcinoma patients with the radiation-induced hearing loss had abnormal gray matter volumes in the auditory center and other sensory centers. Our findings might provide new understanding into the pathogenesis of radiation-induced brain damage in normal-appearing brain tissue. Yet this exploratory study should be taken with caution.
ABSTRACT
Objective:To explore the structural and functional alterations of related brain regions in patients after cardiopulmonary resuscitation (CPR) by brain magnetic resonance imaging (MRI).Methods:A single-center, observational, cross-sectional study design was used. Patients who had brain MRI scans during hospitalization between July 2020 and July 2021 in Emergency Department of the First Affiliated Hospital of Nanjing Medical University and had good neurologic outcomes were consecutive enrolled in this study. The healthy control (HC) group consisted of age- and sex-matched volunteers. The demographic and clinical data were recorded. The modified Rankin Scale (mRS) was used to check the recovery and degree of continued disabilities when patients performed MRI. Montreal cognitive assessment (MoCA) was used to assess cognitive functions. The analyses of voxel-based morphometry (VBM) and fractional amplitude of low-frequency fluctuation (fALFF) were conducted. After data preprocessing, comparison of gray matter volume (GMV) and fALFF values between the case group and HC group were carried out, and the information of different brain regions was obtained. Partial correlation analyses were performed to evaluate the correlation between the image parameters of different clusters and clinical parameters.Results:Totally 13 patients were enrolled in this study and 13 were in the HC group. All patients achieved good neurologic outcome; mRS was 3 in 1 case, 2 in 3 cases, and 1 in 5 cases during MEI examination. The case group showed significantly lower MoCA score compared with the HC group ( P<0.001). There were significantly decreased GMVs in the right inferior frontal gyrus, superior temporal gyrus, left superior temporal gyrus, and transverse temporal gyrus in the case group. The patients showed significantly decreased fALFF values in the left postcentral gyrus and precentral gyrus, while increased fALFF values in the right putamen than the HC group (voxel-level P<0.001 and cluster-level P<0.05 with GRF correction). In addition, mean fALFF value in the right putamen was negatively correlated with MoCA score in the case group ( r=-0.710, P=0.021). Conclusions:Patients after CPR may have GMVs and neuronal spontaneous activity changes in some brain regions, and VBM and fALFF methods can be used to objectively evaluate the impaired brain functional activity in patients after successful CPR.
ABSTRACT
Objective:To explore the difference of gray matter volume between anxious depression(AD)and non anxious depression(NAD) patients, and its correlation with clinical characteristics.Methods:One hundred and fifty patients with depression were included from September 2014 to October 2018, meanwhile 62 healthy controls with matching demographic characteristic were recruited. The severity of the patients was assessed by Hamilton depression scale-17(HAMD-17). Patients were divided into anxious depression group(AD group, n=80)and non-anxious depression group (NAD group, n=70) according to whether anxiety/somatization factor scored 7. All subjects were scanned with 3.0 T underwent structural MRI scan. The structural magnetic resonance data were preprocessed by voxel-based morphometry (VBM). The rest toolkit was used to calculate the difference of gray matter volume among the three groups. By SPSS 19.0, post-hoc t test was used for pairwise comparison and Pearson correlation analysis was performed between gray matter volume and clinical factors in patients with anxious depression. Results:Compared to the NAD group, the gray matter volume of the right middle frontal gyrus(MNI: x=28.5, y=21.0, z=48.0, t=-4.83, Bonferroni multiple comparison adjustment, P<0.05/3) and left dorsolateral superior frontal gyrus(MNI: x=-18.0, y=27.0, z=43.5, t=-6.08, Bonferroni multiple comparison correction, P<0.05/3)were significantly decreased in AD group. Correlation analysis found that the gray matter volume of the right middle frontal gyrus in patients with anxious depression was negatively correlated with the insight of anxiety/somatization factor score ( r=-0.36, P=0.001). Conclusion:The volume of prefrontal lobe in patients with anxiety depression is lower than that in patients with non anxiety depression, which may be related to the serious clinical symptoms in patients with anxiety depression.The decrease of right middle frontal gyrus volume can be used as a potential biological marker for the severity of impaired insight.
ABSTRACT
Objective:To investigate the impact of altering brain gray matter volume (GMV) on cognition and gait disorder in patients with amnestic mild cognitive impairment (aMCI).Methods:Thirty-six patients with aMCI, who admitted to the First Affiliated Hospital of Anhui Medical University from July 2018 to August 2020, were collected, and 33 normal controls (NC) matched with age, sex and education level were included in the same period. The neuropsychological assessment was done in all the subjects using Mini-Mental State Examination (MMSE), Montreal Cognitive Assessment scale (MoCA), Cambridge Cognitive Examination-Chinese version (CAMCOG-C), Geriatric Depression Scale (GDS) and Activities of Daily Living scale (ADL). The timed up and go test (TUG), dual task of timed up and go test (D-TUG) and Berg Balance Scale (BBS) were used in the subjects for assessment. The parameters such as stride length, gait speed, gait frequency were collected by intelligent device for energy expenditure and activity. All the subjects received 3.0 T magnetic resonance imaging scan to obtain high-resolution T 1 structural images. Voxel-based morphometry (VBM) was used to compare the difference of GMV between aMCI patients and NC. Partial correlation analysis was performed among altering GMV in the regions of interest (ROI), cognitive score and gait parameters, respectively. Linear regression analysis was used between whole brain GMV and gait parameters. Results:The scores of MMSE, MoCA, CAMCOG-C and the subitems of CAMCOG-C in aMCI group were significantly lower than those in NC group ( P<0.05). In aMCI patients, both the test time of TUG and D-TUG increased, gait speed slowed down, stride length shortened, and stride frequency and BBS score decreased ( P<0.05).VBM analysis showed that the whole brain GMV in aMCI patients was obviously lower than that of NC. In the aMCI group, GMV in ROI1 (right hippocampus, right parahippocampal gyrus, right amygdala and right fusiform gyrus), ROI2 (right middle temporal gyrus), ROI3 (right angular gyrus), ROI4 (right occipital lobe), ROI5 (bilateral orbital frontal lobe), ROI6 (left middle frontal gyrus and rectus gyrus), ROI7 (left fusiform gyrus and left parahippocampal gyrus) was significantly decreased compared with the NC group [Gaussian random field (GRF) correction, two-tailed test, voxel level P<0.001, cluster level P<0.05). In the aMCI group, GMV in ROI1 was positively correlated with orientation ( r=0.437, P=0.012), memory ( r=0.360, P=0.043), execution ( r=0.414, P=0.019), and negatively correlated with ADL score ( r=-0.529, P=0.002). GMV in ROI2 was negatively correlated with ADL score ( r=-0.400, P=0.023). GMV in ROI4 and in ROI5 was positively correlated with the calculation ( r=0.370, P=0.037) and execution ( r=0.360, P=0.043), respectively. GMV in ROI6 was positively correlated with MMSE score ( r=0.357, P=0.045), CAMCOG-C total score ( r=0.503, P=0.003) and calculation ( r=0.395, P=0.025), and negatively correlated with ADL score ( r=-0.387, P=0.028). GMV in ROI5 was positively correlated with gait speed ( r=0.391, P=0.027). In the aMCI group, CAMCOG-C total score was negatively correlated with D-TUG results ( r=-0.387, P=0.035), executive function was negatively correlated with TUG results ( r=-0.450, P=0.013) and D-TUG results ( r=-0.553, P=0.002), and positively correlated with gait speed ( r=0.379, P=0.039). Attention was positively correlated with gait speed ( r=0.590, P=0.001), and computing was positively correlated with gait speed ( r=0.371, P=0.044). The linear regression of whole brain GMV and gait parameters showed negative correlation between the GMV of left occipital lobe and TUG results in the aMCI group. The GMV of bilateral prefrontal cortex, right occipital lobe and surrounding cortex was positively correlated with gait speed (GRF correction, two-tailed test, voxel level P<0.001, cluster level P<0.05). Conclusions:Patients with aMCI presented with gray matter atrophy, cognition impairment, and gait disorders. The cognition impairment was closely related to the atrophy of medial temporal lobe. Gait disorders were not only associated with cognition impairment but also with gray matter volume in the prefrontal lobe, occipital lobe and its surrounding cortex, and anterior central gyrus.
ABSTRACT
Objective:To investigate the abnormalities of gray matter volume (GMV) and the synergistic changes in different cerebral regions in the first-episode and early-onset depression (EOD) patients.Methods:A total of 60 patients with untreated EOD (EOD group) and 64 healthy controls (control group) matched for age, gender, and education underwent high-resolution T 1WI MR scans. Voxel-based morphometry was used to calculate the cerebral GMV. The difference in GMV between the two groups was compared with the t-test. Different brain regions were selected as seeds for structural covariation network (SCN) analysis. Spearman correlation model was used to analyze the correlation between the GMV in different cerebral regions and illness duration as well as the scores of Hamilton rating scale for depression (HAMD) 17 items in EOD group. Results:Compared to control group, the EOD group had significantly increased GMV in the right orbitofrontal cortex, right dorsolateral prefrontal cortex, right inferior parietal lobule, right superior parietal lobule and bilateral precuneus ( P<0.05, corrected by FDR). Based on the right orbitofrontal cortex and dorsolateral prefrontal cortex as seed regions, structural covariance analysis revealed that abnormal cooperative brain regions in EOD group, mainly distributed in the bilateral frontal lobe, parietal lobe, occipital lobe, temporal lobe, paralimbic system and cerebellum ( P<0.05, corrected by FDR). In EOD group, significant negative correlations were observed between the GMV in the right orbitofrontal cortex ( r=-0.314, P=0.015), the left precuneus ( r=-0.283, P=0.029), and illness duration. Significant positive correlations were observed between the GMV in the right dorsolateral prefrontal cortex and the scores of anxiety/somatization factor of HAMD17 ( r=0.331, P=0.010), the left precuneus and weight factor of HAMD17 ( r=0.255, P=0.049), respectively. Conclusions:Abnormal GMV changes are observed in some regions of the prefrontal and parietal lobule in patients with untreated EOD, accompanied by extensive covariant brain regions and additional structural connectivity. In addition, the abnormal GMV changes in some regions are associated with clinical features. Part of the prefrontal and parietal lobule may be the biomarkers to objectively evaluate abnormal brain structure in depression patients in the early stage.
ABSTRACT
Objective:To investigate the brain characteristics of chronic schizophrenia by voxel-mirrored homotopic connectivity (VMHC).Methods:Forty seven patients with chronic schizophrenia from Tianjin Anding Hospital and 31 healthy controls from nearby communities were included in the study. The MRI data of the subjects were collected by Siemens Skyra 3.0 T MRI.Positive and negative symptoms scale (PANSS) was used to assess the illness severity of patients with chronic schizophrenia.SPM12 was used to process the collected MRI data. DPARSF was used to calculate the VMHC values of subjects in the two groups. The independent sample t test based on SPM12 was used to compare the VMHC values of the two groups. The significant brain regions in VMHC were regarded as regions of interest (ROI), and VBM8 was used to further analyze the gray matter volume of the ROI of the two groups. Results:Compared with healthy controls, the patients with chronic schizophrenia demonstrated decreased VMHC mainly located in lingual gyrus(voxel=208, T=4.98), occipital middle occipital gyrus(voxel=156, T=3.75) and postcentral gyrus(voxel=237, T=4.36) (FDR correction, q=0.05). Compared with healthy controls, the gray matter volumes in bilateral lingual gyrus(left(0.0034±0.0008), (0.0028±0.0013), t=-2.141, P=0.037; right(0.0025±0.0006), (0.0020±0.0011), t=2.268, P=0.028) and postcentral gyrus((0.0432±0.0051), (0.0372±0.0162), t=-2.070, P=0.045) increased, but non-significant change in postcentral gyrus of the patients with chronic schizophrenia. Conclusion:The abnormal VMHC mainly locate in lingual gyrus, middle occipital gyrus and postcentral gyrus in patients with chronic schizophrenia.
ABSTRACT
Objective:To investigate the changes of gray matter volume in patients with chronic nonfluent aphasia after cortical cerebral infarction and the relationship between gray matter volume and language function. Methods:From June, 2016 to June, 2019, 19 patients with chronic nonfluent aphasia after cortical cerebral infarction from the First Affiliated Hospital of Ji'nan University and 28 healthy subjects (controls) were scanned with structural magnetic resonance imaging. The data were analyzed using voxel-based morphological measurement to measure the gray matter volumes of the brain regions, and the differences between patients and controls were compared. The correlation between volumes of brain regions with difference and scores of items of Aphasia Battery of Chinese (ABC) was analyzed. Results:The gray matter volumes increased in the brain regions of right inferior frontal gyrus triangle, right inferior frontal gyrus island cover, right angular gyrus, the right medial frontal gyrus, left insula, left medial frontal gyrus in the patients; while decreased in right globus pallidus. The volumes of left insular lobe correlated with the scores of repeating (r = 0.665, P = 0.001) and naming (r = 0.638, P = 0.003); and the volumes of right inferior frontal gyrus triangle correlated with the scores of hearing comprehension (r = 0.493, P = 0.031), repeating (r = 0.576, P = 0.009) and naming (r = 0.674, P = 0.001) in the patients. Conclusion:The cortex volumes of left insula and right inferior frontal gyrus triangle increase in patients with chronic nonfluent aphasia after cerebral infarction, which may play a role in the language dysfunction.
ABSTRACT
Objective: To investigate the changes of insular functional connectivity in patients with uremic restless legs syndrome (uRLS) using seed-based resting-state functional connectivity analysis so as to explore the related risk factors for RLS. Methods: 3D high-resolution structural imaging was applied in 29 patients with uremic restless legs (uRLS group) and 29 healthy volunteers (control group) with maintenance hemodialysis. The greymatter volume of the insular cortex was assessed using a voxel-based morphometry (VBM) analysis and functional connectivity of insular variation was evaluated by a seed-based correlation analysis, while the seed was chosen as the significant difference of grey matter volume. Pearson correlation analysis was used to explore the significant correlation between functional connectivity and RLS score. The relationship between brain alterations and clinical variables were investigated with Logistic stepwise multiple regression analysis. Results: Compared with that in the control group, the area with reduced gray matter volume in the uRLS group was located on the left posterior insula (P<0.05, FWE correction). Taking the left post insular as a seed region, we further found reduced functional connectivity in patients mainly between the insular and primary sensorimotor cortex (S1), supplementary motor areas (SMA), and posterior mid-cingulate gyrus (P<0.05, FDR corrected). In uRLS group, the severity score of RLS was negatively correlated with insular-S1 functional connectivity (P<0.05, FDR corrected), while the hemoglobin level was negetively correlated with functional connectivity degree of insular-S1 (r=-0.449, P=0.015, FDR corrected). Conclusion: The altered morphology of the post insular cortex was revealed in uRLS patients. Abnormal sensorimotor activities in patients with RLS were closely associated with reduced functional connectivity of insular-S1. Low hemoglobin level was the most important risk factor for the abnormal functional connectivity of the brain.
ABSTRACT
Objective To investigate the characteristics of gray matter volume in Obsessive Compulsive Disorder (OCD) patients compared with healthy controls, and to explore the correlation between brain regions with altered gray matter volume and the patients'cognitive function and clinical symptoms. Method Thirty-six patients with first-episode OCD and 35 healthy controls who were matched by age, gender and education level were selected and examined by MATRICS Consensus Cognitive Battery (MCCB) and Yale-Brown Obsessive Compulsive Scale (Y-BOCS). The head MRI and the Voxel-based morphometry was used to test the volume of gray matter. The correlation analysis was conducted to analyze the correlation between brain areas with altered gray matter volume and patients'cognitive function and Y-BOCS results. Results Compared with the control group, the OCD group had increased gray matter volume in frontal parietal lobe (postcentral gyrus-L, precentral gyrus-L) (t=4.299, P<0.0005, voxels>100) and temporal-limbic system (fusiform gyrus-L, superior temporal gyrus-L, medial temporal lobe-L, parahippocampal gyrus-L) (t=4.841, P<0.0005, voxels> 100). Meanwhile, the volume of gray matter decreased in bilateral anterior cingulate gyrus (t=-4.181, P<0.0005, voxels>100). In the case group, there were a positive correlation between the volume of gray matter in the temporal lobo-limbic system and social cognition score (r=0.347,P=0.038) and a positive correlation between the volume of gray matter in the anterior cingulate gyrus and obsessions score (r=0.416,P=0.012). Conclusion Patients with OCD have abnormal gray matter volume in a wide range of brain regions, including the frontal parietal lobe, the temporal-limbic system, and bilateral anterior cingulate gyrus, among which the volume of gray matter in the temporal-limbic system is correlated with social cognition, and gray matter volume in the anterior cingulate gyrus is correlated with obsessions.
ABSTRACT
In recent years,magnetic resonance imaging (MRI) has been widely used in the early diagnosis as well as long-term follow-up study of Alzheimer's disease (AD).The studies were reviewed which applied the structural MRI and arterial spin labeling MRI (ASL-MRI) in AD over the past 20 years,and found more gray matter volume loss in multiple brain structures in individuals with AD spectrum.Among them,medial temporal lobe atrophy and posterior cortical atrophy are the most diagnostic.Meanwhile,cerebral blood flow changes in various brain regions with the progression of the AD.More investigations combining the changes of gray matter volume and cerebral blood flow to explore pathophysiological mechanisms underlying cognitive decline in AD spectrum are necessary in the future.
ABSTRACT
OBJECTIVE: Structural changes of brain areas have been reported in depressive disorder and suicidal behavior (SB), in which TPH1 also has been known as a promising candidate gene. We investigated gray matter volume (GMV) differences, TPH1 rs1800532 and rs1799913 polymorphisms previously found to be associated with depressive disorder and SB, and the relationship between the two markers. METHODS: Thirteen depressive disorder patients with suicidal attempts (SA) and twenty healthy controls were included. We examined GMV differences using a voxel-based morphometry and regions of interest analysis. Direct sequencing was used for genotyping. RESULTS: The patients showed significant GMV reduction in left cerebral region including middle frontal gyrus, inferior frontal gyrus, and anterior cingulate cortex; in right middle temporal gyrus; in left cerebellar tonsil; and in right cerebral region including precentral gyrus and postcentral gyrus (corrected p < 0.005). The right precentral and postcentral gyri GMV values of AA and CA genotypes patients were significantly decreased compared to those of CC genotype subjects (corrected p=0.040). CONCLUSION: These findings show the possibility that both GMV reductions and TPH1 rs1800532/rs1799913 A allele may be involved in the pathogenesis of depressive disorder patients with SA.
Subject(s)
Humans , Alleles , Brain , Depressive Disorder , Frontal Lobe , Genotype , Gray Matter , Gyrus Cinguli , Palatine Tonsil , Prefrontal Cortex , Somatosensory Cortex , Temporal LobeABSTRACT
Objective The study aims to analyze the changes in gray matter among Bipolar Disorder (BD) with suicidal ideation, those without suicidal ideation and health control (HC) and to explore the altered brain imaging changes of BD patients with suicidal ideation. Method The study recruited 28 BD with suicidal ideation, 40 BD without suicidal ideation and 46 HCs who undergone the high-resolution structural magnetic resonance imaging. Thus, the data of all participants were analyzed by voxel-based morphometry (VBM). Results Significantly decreased gray matter volume was detected in the right superior temporal gyrus, right middle temporal gyrus, left caudate nucleus, left lenticular putamen, left middle occipital gyrus and left occipital gyrus in patients with BD compared to HCs. However, there was no significant difference in gray matter volume between BD with suicidal ideation and those without suicidal ideation. There were significant differences in gray matter volume in the right postcentral, the right superior parietal gyrus and the right precuneus among BD with and without suicidal ideation and HCs. The gray matter volumes of BD with suicidal ideation were significantly lower than that of the other two groups. Conclusion Gray matter volume abnormalities in parietal lobe play an important role in the brain structural alternation of BD with suicidal ideation.
ABSTRACT
Objective To investigate the abnormal region of gray matter and distribution in long-term night shift physicians of the emergency department,and explore the brain structural changes closely related to long-term chronic sleep loss.Methods The study was carried out among two groups of medical staff,with the chronic sleep deprived(CSD)group(n=15)performing a fixed night work and the regular sleep controls (RSC)group (n=15)working regularly during the day at our hospital.Both groups were age-and gender-matched.The data of two groups were analyzed using voxel-based morphometry (VBM)based on SPM8 to generate gray maps.Results Compared to the RSC group without night shifts,increased gray matter volume in the CSD group was observed in the middle temporal gyrus,inferior frontal fyrus,insula,thalamus,posterior cingulate,medial frontal gyrus,inferior parietal lobule and postcentral gyrus (P<0.05).Conclusion These findings suggest that long-term,chronic sleep loss is associated with the change of the gray matter volume in the network,and may have a neuroanatomical basis.The brain structural changes are related with the domains of emotion and language,this contributes to further explore on the neural mechanism of the effects of the long-term night shift on brain function.
ABSTRACT
Objective To investigate the morphological changes of whole brain gray matter in patients with postherpetic neuralgia(PHN),and evaluate the correlation between morphological changes of whole brain gray matter,visual analogue scale (VAS) and duration of PHN.Methods By using VBM-DARTEL method,firstly the 3D T1WI structure images of 17 patients with PHN and 17 normal control were preprocessed,then the segmented gray matter volume was compared between the two groups, and the correlation between difference of cerebral gray matter volume,VAS and duration of PHN were analyzed.Results Compared with the normal control, gray matter decrease in PHN group was found in bilateral orbital frontal regions(orbital gyrus,rectus gyri),left inferior frontal gyrus,left insular lobe, left caudate, right cingulate gyrus,left superior temporal gyrus, left cuneus, bilateral cerebellum posterior lobe and bilateral cerebellum anterior lobe.And gray matter increase in PHN group was found in bilateral superior frontal gyri, left middle frontal gyrus, vermis, pons.The gyrus volume change for two hemispheres was asymmetric (the left side greater than the right side).These different brain region changes in gray matter volume for patients with PHN were not correlated with VAS and duration of PHN.
ABSTRACT
Objective To explore the gray matter changes in aggressive patients with schizophrenia,and the relationship between the gray matter and aggression in patients.Methods Eighteen aggressive patients with schizophrenia (SZ1),18 age-and gender-matched un-aggressive patients with schizophrenia (SZ2) and 18 normal controls (NC) were enrolled in the study.Then a 3.0 T magnetic resonance imaging (MRI) scan was conducted for each participant.The voxel-based morphometry (VBM) approach and the Chinese version of Buss & Perry aggression questionnaire (B&P) were used to explore imaging data and to assess the aggression,respectively.Results Compared with NC,patients with schizophrenia showed changes in gray matter volume (GMV) in the frontal,temporal and the occipital lobes (P＜0.05,AlphaSim corrected).Compared with SZ2,SZ1 showed increased GMV in the right supramarginal gyrus,right postcentral gyms,bilateral insula and orbito-frontal gyri (P＜0.05,AlphaSim corrected).The GMV of the right insula,right postcentral gyms and right supramarginal grus were positively associated with B&P scores in patients with schizophrenia (P＜0.01,AlphaSim corrected),respectively.Conclusions These preliminary findings support that the aggression in schizophrenia is associated with GMV changes of brain regions in patients with schizophrenia.The right postcentral gyrus,the right insula and the right supramarginal gyrus may be involved in the neural mechanism of aggression in schizophrenia.
ABSTRACT
BACKGROUND AND PURPOSE: This study aimed to estimate the changes in gray matter volume (GMV) and their hemispheric difference in patients with mesial temporal lobe epilepsy (MTLE) using a voxel-based morphometry (VBM) methodology, and to determine whether GMV changes are correlated with clinical features. METHODS: VBM analysis of brain MRI using statistical parametric mapping 8 (SPM8) was performed for 30 left MTLE (LMTLE) and 30 right MTLE (RMTLE) patients and 30 age- and sex-matched healthy controls. We also analyzed the correlations between GMV changes and clinical features of MTLE patients. RESULTS: In SPM8-based analyses, MTLE patients showed significant GMV reductions in the hippocampus ipsilateral to the epileptic focus, bilateral thalamus, and contralateral putamen in LMTLE patients. The GMV reductions were more extensive in the ipsilateral hippocampus, thalamus, caudate, putamen, uncus, insula, inferior temporal gyrus, middle occipital gyrus, cerebellum, and paracentral lobule in RMTLE patients. These patients also exhibited notable reductions of GMV in the contralateral hippocampus, thalamus, caudate, putamen, and inferior frontal gyrus. We observed that GMV reduction was positively correlated with several clinical features (epilepsy duration and seizure frequency in RMTLE, and history of febrile seizure in LMTLE) and negatively correlated with seizure onset age in both the RMTLE and LMTLE groups. CONCLUSIONS: Our study revealed GMV decreases in the hippocampus and extrahippocampal regions. Furthermore, the GMV reduction was more extensive in the RMTLE group than in the LMTLE group, since it included the contralateral hemisphere in the former. This difference in the GMV reduction patterns between LMTLE and RMTLE may be related to a longer epilepsy duration and higher seizure frequency in the latter.
Subject(s)
Humans , Age of Onset , Brain , Cerebellum , Epilepsy , Epilepsy, Temporal Lobe , Gray Matter , Hippocampus , Magnetic Resonance Imaging , Occipital Lobe , Prefrontal Cortex , Putamen , Seizures , Seizures, Febrile , Temporal Lobe , ThalamusABSTRACT
Objective:To explore the traits of gray matter volume in general anxiety disorder (GAD)and ob-sessive compulsive disorder (OCD)by using magnetic resonance imaging (MRI)technique.Methods:Twenty-eight GAD,25 OCD and 39 normal controls were recruited.All patients were met the Diagnostic and Statistical Mannal of Mental Disorders,Fourth Edition,Text Revision (DSM-IV-TR)or the International Statistical Classifica-tion of Disease and Related Health Problems Tenth Revision (ICD-10)diagnostic criteria for GAD or OCD.All subjects underwent structural MRI scan.The severity of anxiety and OCD symptoms were rated in all patients with the Hamilton Anxiety Rating Scale (HAMA)and the Yale-Brown Obsessive Compulsive Scale (Y-BOCS).The gray matter volume (GMV)was compared between all groups by using the voxel-based morphometry (VBM)a- nalysis.The correlation analysis between GMV and total scores of HAMA and Y-BOCS was performed in GAD and OCD.Results:The GMV was increased in regions including left anterior cingulate cortex in GAD (P =0.016,small volume correction),while only decreased GMV was observed in OCD in bilateral orbitofrontal cortex (OFC)(P <0.001,uncorrected).GAD had larger GMV than OCD in several regions including bilateral OFC (P <0.001,un-corrected).The higher total score of HAMA was associated with increased GMV of right temporal cortex in GAD, and with the GMV of OFC in OCD (P <0.001,uncorrected).Conclusion:No sharing of GMV abnormalities in GAD and OCD was observed in the current study.The traits of brain structure and the potential neural substrate of anxiety symptom in GAD and OCD may be significantly different.
ABSTRACT
The impacts from the bupropion on the brain structures have seldom been mentioned in the literature. The bupropion is a kind of antidepressant with dual action in the norepinephrine and dopamine receptors. Here we have a case to share about the bupropion-related effects in the brain structure.
Subject(s)
Humans , Brain , Bupropion , Depression , Norepinephrine , Receptors, DopamineABSTRACT
BACKGROUND AND PURPOSE: One of the most common genetic causes of frontotemporal dementia (FTD) is mutation in the progranulin (PGRN) gene. The aim of this study is to assess the early effects of the PGRN mutations on brain volumes by longitudinal voxel based morphometric (VBM) evaluation in asymptomatic mutation carriers. METHODS: We recruited 17 asymptomatic members of families with FTD caused by PGRN mutations; 7 mutation carriers (51.0+/-11.6 yr) and 10 non-carriers (55.2+/-6.0 yr, p=0.404). The MRI follow-up intervals of carriers and non-carriers were 788.6+/-103.8 and 922.0+/-225.1 days (p=0.124) respectively. We performed cross-sectional and longitudinal VBM analysis on both groups. RESULTS: At baseline, the carriers had lower white matter (WM) volumes in left frontal regions (p<0.001, uncorrected), but had no gray matter (GM) volume reduction. The carrier's global GM (p=0.924) and WM volume (p=0.364) reduction rate were not different from the non-carrier's. However, statistical parametric mapping T-maps showed differentially increased GM volume reductions in the bilateral parietal areas of carriers (p<0.001, uncorrected). CONCLUSIONS: The findings from this study to examine WM and GM cross-sectional and longitudinal changes in PGRN mutation carriers suggest that WM atrophic changes could precede both GM changes and symptom onset in FTD. Asymptomatic PGRN mutation carriers have measurably higher rates of regional GM atrophy than non-carriers even in the pre-dementia stages.
Subject(s)
Humans , Atrophy , Brain , Follow-Up Studies , Frontotemporal Dementia , Magnetic Resonance Imaging , RabeprazoleABSTRACT
Objective In recent years , multivariate pattern analysis ( MVPA) method was proposed and considered to be a promising tool for automated identification of various neuropsychiatric populations .Support vector machine ( SVM) is one of the most widely used methods of MVPA .Using SVM classifier for MVPA of amnestic mild cognitive impairment (aMCI) and normal control (NC) group, the present study aims to build an individual diagnostic model with significant discriminative power and investigate the gray matter abnor-malities of aMCI patients . Methods Fifty-one aMCI patients and 68 normal controls were scanned on the 3-Tesla magnetic resonance imaging (MRI) for high-resolution T1-weighted images.Gray matter volume map was calculated for each subject and used as features for subsequent discriminative analysis .We first applied feature selection to remove redundant information and reduce feature dimension , and then trained an SVM classifier . Leave-one-out cross validation ( LOOCV) was used to estimate the performance of the classifier , and finally the most discriminative features were identified . Results The proposed classifier achieved a classification accuracy of 83.19%with a sensitivity of 76.47%and a specificity of 88.24%.In ad-dition, the area under the receiver operating characteristic (ROC) curve was 0.8368.Further analysis revealed that the most discrimi-native features for classification included bilateral parahippocampal gyri , bilateral hippocampi , bilateral amygdala , bilateral thalamus , right cingulate , right precuneus , left caudate , left superior temporal gyrus , left middle temporal gyrus , left insula and left orbitofrontal cortex. Conclusion The proposed classification model has achieved significant accuracy for aMCI prediction , and it also displayed the whole brain gray matter atrophy pattern in aMCI patients .It suggests that the proposed method may have important implications for early clinical diagnosis of aMCI patients .